CN117990043B - Monitoring method and system for ship shafting supporting structure - Google Patents
Monitoring method and system for ship shafting supporting structure Download PDFInfo
- Publication number
- CN117990043B CN117990043B CN202410404862.4A CN202410404862A CN117990043B CN 117990043 B CN117990043 B CN 117990043B CN 202410404862 A CN202410404862 A CN 202410404862A CN 117990043 B CN117990043 B CN 117990043B
- Authority
- CN
- China
- Prior art keywords
- point
- deformation
- value
- feedback
- feedback point
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 45
- 238000012544 monitoring process Methods 0.000 title claims abstract description 43
- 238000004458 analytical method Methods 0.000 claims abstract description 35
- 230000000087 stabilizing effect Effects 0.000 claims abstract description 4
- 230000008859 change Effects 0.000 claims description 114
- 238000002955 isolation Methods 0.000 claims description 109
- 230000009194 climbing Effects 0.000 claims description 16
- 238000005259 measurement Methods 0.000 claims description 16
- 238000004590 computer program Methods 0.000 claims description 11
- 230000002159 abnormal effect Effects 0.000 claims description 6
- 230000000630 rising effect Effects 0.000 claims description 6
- 238000012216 screening Methods 0.000 claims description 4
- 238000006073 displacement reaction Methods 0.000 claims description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 4
- 230000007774 longterm Effects 0.000 abstract 1
- 230000006870 function Effects 0.000 description 14
- 238000003745 diagnosis Methods 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 229910000831 Steel Inorganic materials 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000010801 machine learning Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000013139 quantization Methods 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 239000010959 steel Substances 0.000 description 2
- 230000035882 stress Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000006355 external stress Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 238000010223 real-time analysis Methods 0.000 description 1
- 239000013535 sea water Substances 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 238000012706 support-vector machine Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/32—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring the deformation in a solid
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L5/00—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes
- G01L5/0028—Force sensors associated with force applying means
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
Abstract
The invention belongs to the technical field of data acquisition and ship shafting, and provides a monitoring method and a system of a ship shafting supporting structure, which specifically comprise the following steps: and identifying each air bag vibration isolator in the ship shafting, taking the air bag vibration isolators as vibration isolating units, respectively arranging pressure sensors on the vibration isolating units, measuring by utilizing the pressure sensors to obtain measured values, calculating the balanced distance of each vibration isolating unit according to the measured values, carrying out raft frame deformation analysis according to the balanced distances to obtain deformation order values, and finally carrying out shafting deformation early warning on the client according to the deformation order values. The deformation risk of the ship shafting support structure based on the flexible raft frame in external stimulus is quantized, mathematical support is provided for identifying and preventing bearing deflection isometric system faults caused by flexible support deformation, stability of the supported shafting in practical application is improved, and the ship shafting support structure is particularly beneficial to stabilizing ship shafting states under long-term running of a ship propulsion system.
Description
Technical Field
The invention belongs to the technical fields of data acquisition and ship shafting, and particularly relates to a monitoring method and a monitoring system for a ship shafting supporting structure.
Background
The ship shafting consists of a thrust shaft, an intermediate shaft, a tail shaft, a propeller shaft, a coupler, a thrust bearing, an intermediate bearing and a tail pipe bearing, and is used for converting power generated by a motor into thrust for ship sailing. When the shafting fails, friction and vibration are increased, so that shafting efficiency is reduced, and efficiency and safety of the whole ship propulsion system are affected.
Conventional ship designs generally mount shafting and motor on a rigid support structure, however, as the development of ship vibration reduction technology, conventional rigid support cannot meet the requirements, and vibration energy generated by the shafting can be transmitted to a ship body through the rigid support structure to induce multi-channel vibration and generate acoustic radiation, so that the vibration reduction and concealment performances of the ship are affected. Therefore, modern ships tend to adopt a flexible structure as a support, a host machine and a shafting are installed on a flexible raft frame, and a plurality of air bag vibration isolators are arranged on the raft frame.
In the traditional shafting fault monitoring method, various sensors are arranged on different bearings to monitor parameters such as pressure, temperature, rotating speed and the like so as to judge whether the shafting has faults or not. However, the traditional monitoring method only considers the external stress influence on the shafting, ignores the direct influence of the flexible support in the internal structure on the shafting, and further causes analysis errors when dynamic analysis is carried out, and generally obtains the fixed air pressure parameters of the air bag vibration isolator in a laboratory simulation test, and does not carry out real-time adjustment according to the change of the offshore environment and working conditions, and does not monitor the deformation of the flexible support, namely the adaptability analysis degree of the flexible structure is incomplete. The flexible support is deformed when being influenced by external influences such as water flow impact, seawater corrosion, temperature change, working condition change and the like, the stability of a shaft system supported by the flexible support can be directly influenced, the bearing is triggered to shift, and risks are brought to the efficiency and safety of a ship propulsion system. Therefore, the influence of the flexible supporting structure on the shafting needs to be comprehensively considered in shafting health monitoring so as to realize more comprehensive and accurate fault diagnosis.
Disclosure of Invention
The invention aims to provide a monitoring method and a monitoring system for a ship shafting support structure, which are used for solving one or more technical problems in the prior art and at least providing a beneficial selection or creation condition.
To achieve the above object, according to an aspect of the present invention, there is provided a method for monitoring a marine shafting support structure, the method comprising the steps of:
S100, identifying each air bag vibration isolator in a ship shafting, taking the air bag vibration isolator as a vibration isolation unit, and respectively arranging pressure sensors on the vibration isolation units;
s200, measuring by using a pressure sensor to obtain a measured value, and calculating the equilibrium distance of each vibration isolation unit according to the measured value;
S300, carrying out raft deformation analysis according to the equilibrium distance to obtain a deformation order value;
s400, shafting deformation early warning is carried out on the client according to the deformation order value.
Further, in step S100, each air bag vibration isolator is identified in the ship shafting, and the air bag vibration isolator is used as a vibration isolation unit, and the method for respectively arranging the pressure sensors on the vibration isolation units is as follows: the shafting of the ship is arranged on a flexible raft frame, a rib plate or a lower plate of the flexible raft frame is provided with a plurality of air bag vibration isolators, the air bag vibration isolators arranged on the lower plate are used as vibration isolation units, and pressure sensors are respectively arranged on each vibration isolation unit; the air bag vibration isolator comprises any one of a drum-type rubber air bag vibration isolator and an oblong air bag vibration isolator; a pressure sensor is arranged at the position of each air bag vibration isolator; the pressure sensor is any one of a load sensor, a stress sensor and a piezoelectric sensor.
Further, in step S200, the method of obtaining a measurement value by using the measurement of the pressure sensor and calculating the equalizing distance of each vibration isolation unit according to the measurement value is: each vibration isolation unit obtains a measured value through real-time measurement of a pressure sensor; if one moment is larger than the measured value of the previous moment and the next moment, defining that the moment is pressure-increased; setting a time period as a feedback interval RT, wherein RT epsilon [1,3] minutes, defining a moment as a feedback point at every other feedback interval, and defining a time interval between a feedback point and the first feedback point in the reverse time direction as a feedback interval of the feedback point; obtaining measured values corresponding to each time when pressure rising occurs in a feedback interval, calculating the average value of each measured value as rising expectation, and obtaining the average value of each measured value in the feedback interval as balancing expectation; the ratio of the climbing expectation to the balancing expectation is recorded as climbing proportion Ovt, the average value of the climbing proportion of each vibration isolation unit under the same feedback point is recorded as climbing balance e.ovt, and the balancing distance Bds of any vibration isolation unit under the feedback point is as follows: bds=ln (1+ovt/e.ovt).
Further, in step S300, the method for obtaining the deformation order value by performing the raft deformation analysis according to the equilibrium distance is as follows: setting a time period TgCB, wherein TgCB is E [40,80] minutes; for one vibration isolation unit, defining the upper quartile value of the equilibrium distance in the latest TgCB period as a first distance, and defining that a boundary crossing event occurs at one feedback point when the equilibrium distance at the feedback point is greater than or equal to the first distance;
the maximum value of the equilibrium distance of each vibration isolation unit under the same feedback point is recorded as a second distance; the number of vibration isolation units with out-of-range events under the same feedback point is the out-of-range order value of the feedback point; if one feedback point is larger than the boundary crossing values of the previous feedback point and the next feedback point, defining the feedback point as a first-order boundary crossing point; using any first-order crossing point as a current crossing point, traversing each feedback point from the current crossing point in the reverse time direction until each vibration isolation unit generates a crossing event, and defining the last traversed feedback point as a first-order regression point of the current crossing point; each feedback point from the current crossing point to the corresponding first-order regression point forms a set and is recorded as a regression set;
taking any vibration isolation unit as a current vibration isolation unit; calculating the abrupt change ratio Ptr of the first-order crossing boundary point according to the equilibrium distance and the second distance: ; the equilibrium distance and the second distance of the current vibration isolation unit at the current crossing point are represented by sc.olst and sc.elst respectively, and the average value of each equilibrium distance and each second distance in the corresponding regression set of the current vibration isolation unit is represented by e.olst and e.elst respectively; calculating a deformation order value SV_Rsk of the current vibration isolation unit:
;
Where i1 is the accumulation variable, NFR represents the number of regression sets, LOP i1 is the number of feedback points in the i1 st regression set, ptr i1 represents the ratio of the abrupt changes in the i1 st regression set; xta represents standard deviation of all equalizing distances of the current vibration isolation unit, e is a natural constant, and Tmp is equalizing distance of the current feedback point; olst i1 represents the average of the equalization distances in the i1 st regression set.
The deformation order value is obtained by classifying and screening all the equalization distances, so that the equalization distances under the vibration isolation units are quantized effectively to form data, however, under the condition of small continuous equalization distance change, the deformation order value calculated by the method possibly has insufficient quantization degree, because the method has weaker sensitivity to the data with smaller difference, the data cannot be classified and screened accurately, the problem of under-fitting of the deformation order value obtained by processing is caused, and no feasible technology exists at present to compensate the phenomenon of insufficient quantization caused by the method, and in order to eliminate the influence of unreasonable classification and screening on the calculation of the deformation order value caused by small equalization distance change, the invention provides a more preferable scheme:
Further, in step S300, the method for obtaining the deformation order value by performing the raft deformation analysis according to the equilibrium distance is: setting a time period TgCA, wherein TgCA is 10 and 30 minutes, and any vibration isolation unit is used as a current vibration isolation unit; acquiring values of equalizing distances at different feedback points in the time period of the current vibration isolation unit TgCA to form a sequence, and recording the sequence as a deformation analysis sequence; respectively marking feedback points corresponding to the maximum value and the minimum value in the deformation analysis sequence as dangerous deformation feedback points and steady deformation feedback points; defining a risk change feedback point and a stability change feedback point as first condition moments; calculating and obtaining average values of all equilibrium distances smaller than the upper quartile in the deformation analysis sequence, and recording the average values as the steady-state distances; obtaining a difference value between the equilibrium distance and the steady-state distance at any feedback point, taking an absolute value, dividing the absolute value by the steady-state distance to obtain a ratio, and recording the ratio as a deformation threshold ratio of the feedback point;
If the first condition moment obtained by inverse time search of the current feedback point is taken as a steady feedback point, the steady feedback point is taken as a pressure change starting point, otherwise, the current feedback point is taken as the pressure change starting point; traversing each feedback point to divide the pressure change section in reverse time sequence with the pressure change starting point: taking the equilibrium distance between the pressure change starting point and the traversing feedback point as a difference and taking an absolute value, dividing the absolute value by the equilibrium distance under the traversing feedback point, wherein the obtained value is a sub deformation threshold ratio of the traversing feedback point, and when the sub deformation threshold ratio is not smaller than the deformation threshold ratio of the pressure change starting point or the traversing feedback point is a dangerous feedback point, stopping traversing, taking the traversing feedback point as a pressure change end point, and dividing each feedback point between the pressure change starting point and the pressure change end point into a pressure change section; if the pressure change end point is not the dangerous change feedback point, defining the first feedback point in the reverse time direction as a new pressure change start point, otherwise defining the first steady change feedback point in the reverse time direction as a new pressure change start point, and continuing dividing the pressure change section in the deformation analysis sequence;
Acquiring each equalizing distance in any pressure change section, and taking the difference value between the median value and the stabilizing distance as the pressure balance difference of the pressure change section; if the pressure balance difference of the pressure change section is smaller than zero, marking the maximum value of each equilibrium distance and the root mean square value of the steady shape distance in the pressure change section as a first deformation parameter, otherwise marking the minimum value of each equilibrium distance and the root mean square value of the steady shape distance in the pressure change section as a first deformation parameter, and marking the ratio of the extreme differences of the first deformation and the pressure change section as a displacement adjustment coefficient;
For any pressure change section of the current vibration isolation unit, respectively obtaining the extreme difference of each vibration isolation unit in the pressure change section and marking the extreme difference as pressure change load, marking the average value and the maximum value of the pressure change load of each vibration isolation unit as a load threshold value and a load base value, and if the pressure change load of the current vibration isolation unit in the pressure change section is greater than the load threshold value, defining the pressure change section as a supercharging section, and defining the difference value between the load base value and the pressure change load of the current vibration isolation unit in the supercharging section;
The deformation order value SV_Rsk of the vibration isolation unit is calculated through the supercharging load and the variable-pitch adjustment coefficient:
;
Wherein j1 is the sequence number of the pressurizing section, j2 is the sequence number of the pressure change section, srqTL j1 and SrqTL j2 are the variable pitch adjustment coefficients of the j 1-th pressurizing section and the j 2-th pressure change section respectively, tvdnQ is the average value of the equalizing distances at each feedback point which does not belong to the pressure change section in the deformation analysis sequence, LBD j1 is the pressurizing load divided by the j 1-th pressurizing section, exp () is an exponential function based on a natural number e; sqrt () is a square root function by which the square root value of the call value is returned; mean { } is an average function, and the average value of the calling data set is returned through the average function; exp () is an exponential function with a natural constant e as a base;
The beneficial effects are that: the deformation order value is analyzed in real time through pressure sensing data installed on the air bag vibration isolator configured on the flexible raft frame, so that the deformation risk of the ship shafting support structure based on the flexible raft frame in external stimulus is quantized efficiently, reliable mathematical support is provided for identifying and preventing bearing deflection isometric system faults caused by flexible support deformation, and analysis basis is provided for reducing diagnosis error risks of faults caused by external influences of the shafting alone.
Further, in step S400, the method for performing shafting deformation early warning on the client according to the deformation order value is as follows: forming a tuple by deformation order values obtained by all vibration isolation units under the same feedback point and marking the tuple as a deformation risk group of the feedback point; the average value and the extreme difference of each element in any deformation risk group are respectively recorded as a risk group level and a risk group amplitude; presetting a first time interval TSZ, wherein TSZ is E [1,2] hours; presetting a second time interval TSZ_S to TSZ_S=1/4×TSZ;
Defining an average value of the levels of each risk group in the TSZ period before any feedback point as a risk group base value; if the risk group level of one feedback point is greater than the risk group base value and the feedback point is greater than the risk group level of the previous feedback point, defining that the feedback point meets a first abnormal condition; if the amplitude of a risk group of one feedback point is larger than that of the previous feedback point, defining that the feedback point has amplitude overflow; defining the proportion of feedback points with amplitude overflow in each feedback point in the TSZ_S period before any feedback point as gain proportion;
If the gain proportion of the current feedback point is larger than all gain proportions in the previous TSZ_S period, shafting deformation early warning is sent to the client of the manager; and taking the deformation risk group of the current feedback point as a real-time group, taking the deformation risk group corresponding to each feedback point meeting the first abnormal condition in the current TSZ period as an observation group, and sending the real-time group and the observation group to the manager client.
Further, the server builds a machine learning model through the collected real-time group and observation group, wherein the machine learning model is a gradient lifting tree model or a support vector machine model; the early warning accuracy can be further improved by constructing a model.
Preferably, all undefined variables in the present invention, if not explicitly defined, may be thresholds set manually.
The invention also provides a monitoring system of the ship shafting support structure, which comprises: the method for monitoring the ship shafting support structure comprises a processor, a memory and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the computer program to realize the steps in the method for monitoring the ship shafting support structure, the monitoring system of the ship shafting support structure can be run in a computing device such as a desktop computer, a notebook computer, a palm computer and a cloud data center, and the operable system can comprise, but is not limited to, the processor, the memory and a server cluster, and the processor executes the computer program to run in a unit of the following system:
The sensor preset unit is used for identifying each air bag vibration isolator in the ship shafting, taking the air bag vibration isolator as a vibration isolation unit, and respectively arranging pressure sensors on the vibration isolation units;
The data measurement unit is used for obtaining a measured value by using the measurement of the pressure sensor and calculating the balance distance of each vibration isolation unit according to the measured value;
the deformation analysis unit is used for carrying out raft frame deformation analysis according to the equilibrium distance to obtain a deformation order value;
And the early warning triggering unit is used for carrying out shafting deformation early warning on the client according to the deformation order value.
The beneficial effects of the invention are as follows: the invention provides a monitoring method and a monitoring system for a ship shafting support structure, which are used for carrying out real-time analysis through pressure sensing data arranged on an air bag vibration isolator configured on a flexible raft frame, so that the deformation risk of the ship shafting support structure based on the flexible raft frame in external stimulus is effectively quantized, reliable mathematical support is provided for identifying and preventing bearing deflection equiaxed system faults caused by flexible support deformation, and an analysis basis is provided for reducing the diagnosis error risk caused by the external influence of a single consideration shafting. The adaptability analysis degree of the flexible structure is perfect, the direct influence of the flexible support on the shaft system in the internal structure of the ship shaft system is monitored in real time, the stability of the supported shaft system is further improved, and the stability of the ship shaft system under the condition that the safety of the ship propulsion system can run for a long time is ensured.
Drawings
The above and other features of the present invention will become more apparent from the detailed description of the embodiments thereof given in conjunction with the accompanying drawings, in which like reference characters designate like or similar elements, and it is apparent that the drawings in the following description are merely some examples of the present invention, and other drawings may be obtained from these drawings without inventive effort to those of ordinary skill in the art, in which:
FIG. 1 is a flow chart of a method of monitoring a marine shafting support structure;
fig. 2 is a diagram showing a structure of a monitoring system of a ship shafting support structure.
Detailed Description
The conception, specific structure, and technical effects produced by the present application will be clearly and completely described below with reference to the embodiments and the drawings to fully understand the objects, aspects, and effects of the present application. It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other.
Referring to fig. 1, which is a flowchart illustrating a method for monitoring a ship shafting support structure, a method for monitoring a ship shafting support structure according to an embodiment of the present invention will be described with reference to fig. 1, and the method includes the following steps:
S100, identifying each air bag vibration isolator in a ship shafting, taking the air bag vibration isolator as a vibration isolation unit, and respectively arranging pressure sensors on the vibration isolation units;
s200, measuring by using a pressure sensor to obtain a measured value, and calculating the equilibrium distance of each vibration isolation unit according to the measured value;
S300, carrying out raft deformation analysis according to the equilibrium distance to obtain a deformation order value;
s400, shafting deformation early warning is carried out on the client according to the deformation order value.
Further, in step S100, each air bag vibration isolator is identified in the ship shafting, and the air bag vibration isolator is used as a vibration isolation unit, and the method for respectively arranging the pressure sensors on the vibration isolation units is as follows: the shafting of the ship is arranged on a flexible raft frame, a rib plate or a lower plate of the flexible raft frame is provided with a plurality of air bag vibration isolators, the air bag vibration isolators arranged on the lower plate are used as vibration isolation units, and pressure sensors are respectively arranged on each vibration isolation unit; the air bag vibration isolator comprises any one of a drum-type rubber air bag vibration isolator and an oblong air bag vibration isolator; a pressure sensor is arranged at the position of each air bag vibration isolator; the pressure sensor is any one of a load sensor, a stress sensor and a piezoelectric sensor.
The flexible raft frame is of a flexible structure for supporting a shafting and comprises a main body and an air bag vibration isolator, wherein the main body is made of steel materials and comprises an upper plate, a lower plate and a rib plate, hole grooves are formed in the upper plate, the lower plate and the rib plate for installing the shafting and the air bag vibration isolator, and the shafting is installed on the upper plate of the main body; the rib plates and the lower plates around the main body are provided with a plurality of air bag vibration isolators, one end of each air bag vibration isolator arranged on the lower plate is connected with the raft main body, the other end of each air bag vibration isolator is connected with a steel plate of the ship body, and the pressure at two ends of each air bag vibration isolator is measured through a pressure sensor, namely, the pressure value born by each air bag vibration isolator is obtained through the pressure sensor.
Further, in step S200, the method of obtaining a measurement value by using the measurement of the pressure sensor and calculating the equalizing distance of each vibration isolation unit according to the measurement value is: each vibration isolation unit obtains a measured value through real-time measurement of a pressure sensor; if one moment is larger than the measured value of the previous moment and the next moment, defining that the moment is pressure-increased; setting a time period as a feedback interval RT, wherein RT epsilon [1,3] minutes, defining a moment as a feedback point at every other feedback interval, and defining a time interval between a feedback point and the first feedback point in the reverse time direction as a feedback interval of the feedback point; obtaining measured values corresponding to each time when pressure rising occurs in a feedback interval, calculating the average value of each measured value as rising expectation, and obtaining the average value of each measured value in the feedback interval as balancing expectation; the ratio of the climbing expectation to the balancing expectation is recorded as climbing proportion Ovt, the average value of the climbing proportion of each vibration isolation unit under the same feedback point is recorded as climbing balance e.ovt, and the balancing distance Bds of any vibration isolation unit under the feedback point is as follows: bds=ln (1+ovt/e.ovt).
Wherein Ovt refers to the ramp ratio of the vibration isolation unit.
Further, in step S300, the method for obtaining the deformation order value by performing the raft deformation analysis according to the equilibrium distance is as follows: setting a time period TgCB, wherein TgCB is E [40,80] minutes; for one vibration isolation unit, defining the upper quartile value of the equilibrium distance in the latest TgCB period as a first distance, and defining that a boundary crossing event occurs at one feedback point when the equilibrium distance at the feedback point is greater than or equal to the first distance;
Wherein the last TgCB period refers to a period of time of TgCB of the current time reverse time period;
The maximum value of the equilibrium distance of each vibration isolation unit under the same feedback point is recorded as a second distance; the number of vibration isolation units with out-of-range events under the same feedback point is the out-of-range order value of the feedback point; if one feedback point is larger than the boundary crossing values of the previous feedback point and the next feedback point, defining the feedback point as a first-order boundary crossing point; using any first-order crossing point as a current crossing point, traversing each feedback point from the current crossing point in the reverse time direction until each vibration isolation unit generates a crossing event, and defining the last traversed feedback point as a first-order regression point of the current crossing point; each feedback point from the current crossing point to the corresponding first-order regression point forms a set and is recorded as a regression set; the number of feedback points in the regression set is noted as LOP;
traversing each feedback point from the current boundary crossing point to the reverse time direction until each vibration isolation unit generates a boundary crossing event, namely traversing each feedback point from the current boundary crossing point to the reverse time direction, taking the traversed feedback point as a feedback carrying out point, taking all feedback points from the current feedback point to the feedback carrying out point as traversed feedback points, and if all vibration isolation units generate at least one boundary crossing event in the traversed feedback points, meeting the condition of stopping traversing;
the first-order crossing boundary points and the first-order regression points and the regression sets have a one-to-one correspondence;
taking any vibration isolation unit as a current vibration isolation unit; calculating the abrupt change ratio Ptr of the first-order crossing boundary point according to the equilibrium distance and the second distance: ; the equilibrium distance and the second distance of the current vibration isolation unit at the current crossing point are represented by sc.olst and sc.elst respectively, and the average value of each equilibrium distance and each second distance in the corresponding regression set of the current vibration isolation unit is represented by e.olst and e.elst respectively; calculating a deformation order value SV_Rsk of the current vibration isolation unit:
;
Where i1 is the accumulation variable, NFR represents the number of regression sets, LOP i1 is the number of feedback points in the i1 st regression set, ptr i1 represents the ratio of the abrupt changes in the i1 st regression set; xta represents standard deviation of all equalizing distances of the current vibration isolation unit, e is a natural constant, and Tmp is equalizing distance of the current feedback point; olst i1 represents the average value of each equalization distance in the i1 st regression set; wherein the current feedback point refers to the feedback point closest to the current moment;
Preferably, in step S300, the method for obtaining the deformation order value by performing the raft deformation analysis according to the equilibrium distance is: setting a time period TgCA, wherein TgCA is 10 and 30 minutes, and any vibration isolation unit is used as a current vibration isolation unit;
the rest vibration isolation units which are not the current vibration isolation units are used as rest vibration isolation units;
Acquiring values of equalizing distances at different feedback points in the time period of the current vibration isolation unit TgCA to form a sequence, and recording the sequence as a deformation analysis sequence; respectively marking feedback points corresponding to the maximum value and the minimum value in the deformation analysis sequence as dangerous deformation feedback points and steady deformation feedback points; defining a risk change feedback point and a stability change feedback point as first condition moments; calculating and obtaining average values of all equilibrium distances smaller than the upper quartile in the deformation analysis sequence, and recording the average values as the steady-state distances; obtaining a difference value between the equilibrium distance and the steady-state distance at any feedback point, taking an absolute value, dividing the absolute value by the steady-state distance to obtain a ratio, and recording the ratio as a deformation threshold ratio of the feedback point;
if the first condition moment obtained by inverse time search of the current feedback point is taken as a steady feedback point, the steady feedback point is taken as a pressure change starting point, otherwise, the current feedback point is taken as the pressure change starting point;
wherein the current feedback point refers to the feedback point closest to the current moment;
Traversing each feedback point to divide the pressure change section in reverse time sequence with the pressure change starting point: taking the equilibrium distance between the pressure change starting point and the traversing feedback point as a difference and taking an absolute value, dividing the absolute value by the equilibrium distance under the traversing feedback point, wherein the obtained value is a sub deformation threshold ratio of the traversing feedback point, and when the sub deformation threshold ratio is not smaller than the deformation threshold ratio of the pressure change starting point or the traversing feedback point is a dangerous feedback point, stopping traversing, taking the traversing feedback point as a pressure change end point, and dividing each feedback point between the pressure change starting point and the pressure change end point into a pressure change section; if the pressure change end point is not the dangerous change feedback point, defining the first feedback point in the reverse time direction as a new pressure change start point, otherwise defining the first steady change feedback point in the reverse time direction as a new pressure change start point, and continuing dividing the pressure change section in the deformation analysis sequence;
The traversed feedback points are feedback points which are being traversed, the traversed feedback points are any feedback points which are searched in the reverse time direction of the pressure change starting point, and when the pressure change end point cannot be acquired, the pressure change interval is not divided any more;
Acquiring each equalizing distance in any pressure change section, and taking the difference value between the median value and the stabilizing distance as the pressure balance difference of the pressure change section; if the pressure balance difference of the pressure change section is smaller than zero, marking the maximum value of each equilibrium distance and the root mean square value of the steady shape distance in the pressure change section as a first deformation parameter, otherwise marking the minimum value of each equilibrium distance and the root mean square value of the steady shape distance in the pressure change section as a first deformation parameter, and marking the ratio of the extreme differences of the first deformation and the pressure change section as a displacement adjustment coefficient;
For any pressure change section of the current vibration isolation unit, respectively obtaining the extreme difference of each vibration isolation unit in the pressure change section and marking the extreme difference as pressure change load, marking the average value and the maximum value of the pressure change load of each vibration isolation unit as a load threshold value and a load base value, and if the pressure change load of the current vibration isolation unit in the pressure change section is greater than the load threshold value, defining the pressure change section as a supercharging section, and defining the difference value between the load base value and the pressure change load of the current vibration isolation unit in the supercharging section;
the pressure variable load refers to the pressure variable load of the current vibration isolation unit in the supercharging interval;
The deformation order value SV_Rsk of the vibration isolation unit is calculated through the supercharging load and the variable-pitch adjustment coefficient:
;
Wherein j1 is the sequence number of the pressurizing section, j2 is the sequence number of the pressure change section, srqTL j1 and SrqTL j2 are the variable pitch adjustment coefficients of the j 1-th pressurizing section and the j 2-th pressure change section respectively, tvdnQ is the average value of the equalizing distances at each feedback point which does not belong to the pressure change section in the deformation analysis sequence, LBD j1 is the pressurizing load divided by the j 1-th pressurizing section, exp () is an exponential function based on a natural number e; sqrt () is a square root function by which the square root value of the call value is returned; mean { } is an average function, and the average value of the calling data set is returned through the average function; exp () is an exponential function with a natural constant e as a base;
Further, in step S400, the method for performing shafting deformation early warning on the client according to the deformation order value is as follows: forming a tuple by deformation order values obtained by all vibration isolation units under the same feedback point and marking the tuple as a deformation risk group of the feedback point; the average value and the extreme difference of each element in any deformation risk group are respectively recorded as a risk group level and a risk group amplitude; presetting a first time interval TSZ, wherein TSZ is E [1,2] hours; presetting a second time interval TSZ_S to TSZ_S=1/4×TSZ;
Defining an average value of the levels of each risk group in the TSZ period before any feedback point as a risk group base value; if the risk group level of one feedback point is greater than the risk group base value and the feedback point is greater than the risk group level of the previous feedback point, defining that the feedback point meets a first abnormal condition; if the amplitude of a risk group of one feedback point is larger than that of the previous feedback point, defining that the feedback point has amplitude overflow; defining the proportion of feedback points with amplitude overflow in each feedback point in the TSZ_S period before any feedback point as gain proportion;
If the gain proportion of the current feedback point is larger than all gain proportions in the previous TSZ_S period, shafting deformation early warning is sent to the client of the manager; and taking the deformation risk group of the current feedback point as a real-time group, taking the deformation risk group corresponding to each feedback point meeting the first abnormal condition in the current TSZ period as an observation group, and sending the real-time group and the observation group to the manager client.
The embodiment of the invention provides a monitoring system for a ship shafting support structure, as shown in fig. 2, which is a structural diagram of the monitoring system for the ship shafting support structure, and the monitoring system for the ship shafting support structure of the embodiment comprises: the system comprises a processor, a memory and a computer program stored in the memory and capable of running on the processor, wherein the steps in the embodiment of the monitoring method of the ship shafting support structure are realized when the processor executes the computer program.
The system comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the computer program to run in units of the following system:
The sensor preset unit is used for identifying each air bag vibration isolator in the ship shafting, taking the air bag vibration isolator as a vibration isolation unit, and respectively arranging pressure sensors on the vibration isolation units;
The data measurement unit is used for obtaining a measured value by using the measurement of the pressure sensor and calculating the balance distance of each vibration isolation unit according to the measured value;
the deformation analysis unit is used for carrying out raft frame deformation analysis according to the equilibrium distance to obtain a deformation order value;
And the early warning triggering unit is used for carrying out shafting deformation early warning on the client according to the deformation order value.
The monitoring system of the ship shafting supporting structure can be operated in computing equipment such as a desktop computer, a notebook computer, a palm computer, a cloud server and the like. The monitoring system of the ship shafting support structure can comprise, but is not limited to, a processor and a memory. It will be appreciated by those skilled in the art that the examples are merely examples of a monitoring system for a marine shafting support structure, and are not limiting of a monitoring system for a marine shafting support structure, and may include more or fewer components than examples, or may combine certain components, or different components, e.g., the monitoring system for a marine shafting support structure may further include input and output devices, network access devices, buses, etc.
The Processor may be a central processing unit (Central Processing Unit, CPU), other general purpose Processor, digital signal Processor (DIGITAL SIGNAL Processor, DSP), application SPECIFIC INTEGRATED Circuit (ASIC), field-Programmable gate array (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is a control center of the monitoring system operation system of the ship shafting support structure, and various interfaces and lines are used to connect various parts of the monitoring system operation system of the whole ship shafting support structure.
The memory may be used to store the computer program and/or the module, and the processor may implement various functions of the monitoring system of the marine shafting support structure by running or executing the computer program and/or the module stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data (such as audio data, phonebook, etc.) created according to the use of the handset, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart memory card (SMART MEDIA CARD, SMC), secure Digital (SD) card, flash memory card (FLASH CARD), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
Although the present invention has been described in considerable detail and with particularity with respect to several described embodiments, it is not intended to be limited to any such detail or embodiment or any particular embodiment so as to effectively cover the intended scope of the invention. Furthermore, the foregoing description of the invention has been presented in its embodiments contemplated by the inventors for the purpose of providing a useful description, and for the purposes of providing a non-essential modification of the invention that may not be presently contemplated, may represent an equivalent modification of the invention.
Claims (7)
1. A method of monitoring a marine shafting support structure, the method comprising the steps of:
S100, identifying each air bag vibration isolator in a ship shafting, taking the air bag vibration isolator as a vibration isolation unit, and respectively arranging pressure sensors on the vibration isolation units;
s200, measuring by using a pressure sensor to obtain a measured value, and calculating the equilibrium distance of each vibration isolation unit according to the measured value;
S300, carrying out raft deformation analysis according to the equilibrium distance to obtain a deformation order value;
s400, shafting deformation early warning is carried out on the client according to the deformation order value;
In S200, the method of obtaining a measured value by using a pressure sensor and calculating the equalization distance of each vibration isolation unit according to the measured value includes forming a feedback interval every a preset time period, calculating a climbing expectation and an equalization expectation according to the value measured by the pressure sensor in the feedback interval, calculating a climbing proportion by the climbing expectation and the equalization expectation, and respectively obtaining corresponding equalization distances according to the climbing proportion of each vibration isolation unit at the same time;
In S300, the method for obtaining the deformation order value by performing raft deformation analysis according to the equilibrium distance includes calculating a first distance according to the equilibrium distance in a preset period, and screening the moment of occurrence of the out-of-range event according to the first distance; obtaining a second distance through the balanced distances of different vibration isolation units at the same moment; and screening out first-order crossing points according to the number of vibration isolation units with crossing events at the same moment, calculating the abrupt proportion of the first-order crossing points according to the equalizing distance and the second distance, and calculating the deformation order value of the current vibration isolation unit according to the abrupt proportion.
2. The method for monitoring a ship shafting support structure according to claim 1, wherein in step S100, each air bag vibration isolator is identified in a ship shafting, the air bag vibration isolators are used as vibration isolating units, and the method for arranging pressure sensors on the vibration isolating units respectively is as follows: the shafting of the ship is arranged on a flexible raft frame, a rib plate or a lower plate of the flexible raft frame is provided with a plurality of air bag vibration isolators, the air bag vibration isolators arranged on the lower plate are used as vibration isolation units, and pressure sensors are respectively arranged on each vibration isolation unit; the air bag vibration isolator comprises any one of a drum-type rubber air bag vibration isolator and an oblong air bag vibration isolator; a pressure sensor is arranged at the position of each air bag vibration isolator; the pressure sensor is any one of a load sensor, a stress sensor and a piezoelectric sensor.
3. The method for monitoring a ship shafting support structure according to claim 1, wherein in step S200, the method for obtaining a measurement value by using a pressure sensor measurement and calculating the equilibrium distance of each vibration isolation unit according to the measurement value is specifically as follows: each vibration isolation unit obtains a measured value through real-time measurement of a pressure sensor; if one moment is larger than the measured value of the previous moment and the next moment, defining that the moment is pressure-increased; setting a time period as a feedback interval RT, wherein RT epsilon [1,3] minutes, defining a moment as a feedback point at every other feedback interval, and defining a time interval between a feedback point and the first feedback point in the reverse time direction as a feedback interval of the feedback point; obtaining measured values corresponding to each time when pressure rising occurs in a feedback interval, calculating the average value of each measured value as rising expectation, and obtaining the average value of each measured value in the feedback interval as balancing expectation; the ratio of the climbing expectation to the balancing expectation is recorded as climbing proportion Ovt, the average value of the climbing proportion of each vibration isolation unit under the same feedback point is recorded as climbing balance e.ovt, and the balancing distance Bds of any vibration isolation unit under the feedback point is as follows: bds=ln (1+ovt/e.ovt).
4. The method for monitoring a ship shafting support structure according to claim 1, wherein in step S300, the method for obtaining the deformation order value by performing raft deformation analysis according to the equilibrium distance is specifically as follows: setting a time period TgCB, wherein TgCB is E [40,80] minutes; for one vibration isolation unit, defining the upper quartile value of the equilibrium distance in the latest TgCB period as a first distance, and defining that a boundary crossing event occurs at one feedback point when the equilibrium distance at the feedback point is greater than or equal to the first distance;
the maximum value of the equilibrium distance of each vibration isolation unit under the same feedback point is recorded as a second distance; the number of vibration isolation units with out-of-range events under the same feedback point is the out-of-range order value of the feedback point; if one feedback point is larger than the boundary crossing values of the previous feedback point and the next feedback point, defining the feedback point as a first-order boundary crossing point; using any first-order crossing point as a current crossing point, traversing each feedback point from the current crossing point in the reverse time direction until each vibration isolation unit generates a crossing event, and defining the last traversed feedback point as a first-order regression point of the current crossing point; each feedback point from the current crossing point to the corresponding first-order regression point forms a set and is recorded as a regression set;
Taking any vibration isolation unit as a current vibration isolation unit; calculating the abrupt change ratio Ptr of the first-order crossing boundary point according to the equilibrium distance and the second distance: ; the equilibrium distance and the second distance of the current vibration isolation unit at the current crossing point are represented by sc.olst and sc.elst respectively, and the average value of each equilibrium distance and each second distance in the corresponding regression set of the current vibration isolation unit is represented by e.olst and e.elst respectively; and calculating the deformation order value of the current vibration isolation unit according to the abrupt change proportion.
5. The method for monitoring a ship shafting support structure according to claim 1, wherein in step S300, the method for obtaining the deformation order value by performing raft deformation analysis according to the equilibrium distance may be replaced by: using any vibration isolation unit as a current vibration isolation unit, and constructing a deformation analysis sequence through the balanced distance of the current vibration isolation unit in a preset period;
respectively marking feedback points corresponding to the maximum value and the minimum value in the deformation analysis sequence as dangerous deformation feedback points and steady deformation feedback points; defining a risk change feedback point and a stability change feedback point as first condition moments; calculating and obtaining average values of all equilibrium distances smaller than the upper quartile in the deformation analysis sequence, and recording the average values as the steady-state distances; obtaining a difference value between the equilibrium distance and the steady-state distance at any feedback point, taking an absolute value, dividing the absolute value by the steady-state distance to obtain a ratio, and recording the ratio as a deformation threshold ratio of the feedback point;
If the first condition moment obtained by inverse time search of the current feedback point is taken as a steady feedback point, the steady feedback point is taken as a pressure change starting point, otherwise, the current feedback point is taken as the pressure change starting point; traversing each feedback point to divide the pressure change section in reverse time sequence with the pressure change starting point: taking the equilibrium distance between the pressure change starting point and the traversing feedback point as a difference and taking an absolute value, dividing the absolute value by the equilibrium distance under the traversing feedback point, wherein the obtained value is a sub deformation threshold ratio of the traversing feedback point, and when the sub deformation threshold ratio is not smaller than the deformation threshold ratio of the pressure change starting point or the traversing feedback point is a dangerous feedback point, stopping traversing, taking the traversing feedback point as a pressure change end point, and dividing each feedback point between the pressure change starting point and the pressure change end point into a pressure change section; if the pressure change end point is not the dangerous change feedback point, defining the first feedback point in the reverse time direction as a new pressure change start point, otherwise defining the first steady change feedback point in the reverse time direction as a new pressure change start point, and continuing dividing the pressure change section in the deformation analysis sequence;
Acquiring each equalizing distance in any pressure change section, and taking the difference value between the median value and the stabilizing distance as the pressure balance difference of the pressure change section; if the pressure balance difference of the pressure change section is smaller than zero, marking the maximum value of each equilibrium distance and the root mean square value of the steady shape distance in the pressure change section as a first deformation parameter, otherwise marking the minimum value of each equilibrium distance and the root mean square value of the steady shape distance in the pressure change section as a first deformation parameter, and marking the ratio of the extreme differences of the first deformation and the pressure change section as a displacement adjustment coefficient;
For any pressure change section of the current vibration isolation unit, respectively obtaining the extreme difference of each vibration isolation unit in the pressure change section and marking the extreme difference as pressure change load, marking the average value and the maximum value of the pressure change load of each vibration isolation unit as a load threshold value and a load base value, and if the pressure change load of the current vibration isolation unit in the pressure change section is greater than the load threshold value, defining the pressure change section as a supercharging section, and defining the difference value between the load base value and the pressure change load of the current vibration isolation unit in the supercharging section; and calculating the deformation order value of the vibration isolation unit through the supercharging load and the variable-pitch adjustment coefficient.
6. The method for monitoring the ship shafting support structure according to claim 1, wherein the method for performing shafting deformation early warning on the client according to the deformation order value in step S400 is as follows: forming a tuple by deformation order values obtained by all vibration isolation units under the same feedback point and marking the tuple as a deformation risk group of the feedback point; the average value and the extreme difference of each element in any deformation risk group are respectively recorded as a risk group level and a risk group amplitude; presetting a first time interval TSZ, wherein TSZ is E [1,2] hours; presetting a second time interval TSZ_S to TSZ_S=1/4×TSZ;
Defining an average value of the levels of each risk group in the TSZ period before any feedback point as a risk group base value; if the risk group level of one feedback point is greater than the risk group base value and the feedback point is greater than the risk group level of the previous feedback point, defining that the feedback point meets a first abnormal condition; if the amplitude of a risk group of one feedback point is larger than that of the previous feedback point, defining that the feedback point has amplitude overflow; defining the proportion of feedback points with amplitude overflow in each feedback point in the TSZ_S period before any feedback point as gain proportion;
If the gain proportion of the current feedback point is larger than all gain proportions in the previous TSZ_S period, shafting deformation early warning is sent to the client of the manager; and taking the deformation risk group of the current feedback point as a real-time group, taking the deformation risk group corresponding to each feedback point meeting the first abnormal condition in the current TSZ period as an observation group, and sending the real-time group and the observation group to the manager client.
7. A monitoring system for a marine shafting support structure, the monitoring system comprising: a processor, a memory and a computer program stored in the memory and executable on the processor, the processor implementing the steps in a method for monitoring a marine vessel shafting support structure as claimed in any one of claims 1 to 6 when the computer program is executed, the monitoring system of the marine vessel shafting support structure being operated in a computing device of a desktop computer, a notebook computer, a palm computer and a cloud data center.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202410404862.4A CN117990043B (en) | 2024-04-07 | 2024-04-07 | Monitoring method and system for ship shafting supporting structure |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202410404862.4A CN117990043B (en) | 2024-04-07 | 2024-04-07 | Monitoring method and system for ship shafting supporting structure |
Publications (2)
Publication Number | Publication Date |
---|---|
CN117990043A CN117990043A (en) | 2024-05-07 |
CN117990043B true CN117990043B (en) | 2024-05-28 |
Family
ID=90890869
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202410404862.4A Active CN117990043B (en) | 2024-04-07 | 2024-04-07 | Monitoring method and system for ship shafting supporting structure |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN117990043B (en) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN118393267B (en) * | 2024-06-27 | 2024-08-27 | 沁水寺河瓦斯发电有限公司 | Operation detection control system applied to power equipment |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20180131014A (en) * | 2017-05-31 | 2018-12-10 | 목포해양대학교 산학협력단 | System for measuring intermediate shaft/stern tube bearing load and monitoring of shaft damage prevention through remote measurement of bending moments for ship propulsion shaft system |
CN110712731A (en) * | 2019-10-22 | 2020-01-21 | 中国人民解放军海军工程大学 | Ship shafting alignment and cyclotron vibration multidisciplinary optimization method |
CN210321625U (en) * | 2019-07-25 | 2020-04-14 | 中国人民解放军海军工程大学 | Marine buoyant raft isolator interval monitoring base and marking piece thereof |
CN115826454A (en) * | 2022-11-04 | 2023-03-21 | 湖北工业大学 | Large ship vibration isolation system, edge calculation system and method |
CN115901219A (en) * | 2022-12-07 | 2023-04-04 | 渤海造船厂集团有限公司 | System and method for detecting relation between pipeline and vibration absorber installation parameters and acoustic quality |
-
2024
- 2024-04-07 CN CN202410404862.4A patent/CN117990043B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20180131014A (en) * | 2017-05-31 | 2018-12-10 | 목포해양대학교 산학협력단 | System for measuring intermediate shaft/stern tube bearing load and monitoring of shaft damage prevention through remote measurement of bending moments for ship propulsion shaft system |
CN210321625U (en) * | 2019-07-25 | 2020-04-14 | 中国人民解放军海军工程大学 | Marine buoyant raft isolator interval monitoring base and marking piece thereof |
CN110712731A (en) * | 2019-10-22 | 2020-01-21 | 中国人民解放军海军工程大学 | Ship shafting alignment and cyclotron vibration multidisciplinary optimization method |
CN115826454A (en) * | 2022-11-04 | 2023-03-21 | 湖北工业大学 | Large ship vibration isolation system, edge calculation system and method |
CN115901219A (en) * | 2022-12-07 | 2023-04-04 | 渤海造船厂集团有限公司 | System and method for detecting relation between pipeline and vibration absorber installation parameters and acoustic quality |
Non-Patent Citations (1)
Title |
---|
船舶柔性推进轴系校中特性研究;尹红升等;推进技术;20210129;第43卷(第4期);全文 * |
Also Published As
Publication number | Publication date |
---|---|
CN117990043A (en) | 2024-05-07 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN117990043B (en) | Monitoring method and system for ship shafting supporting structure | |
DK2103915T3 (en) | Device and method for determining a resonant frequency of a wind turbine tower | |
CN110296053B (en) | Fatigue damage monitoring method and device for wind driven generator blade | |
EP3380903A1 (en) | Marine vessel performance monitoring | |
JPWO2016195092A1 (en) | Anomaly detector | |
CN111046491A (en) | Method and device for estimating oil consumption of large ship diesel engine | |
JP6783163B2 (en) | Wing vibration monitoring device and wing vibration monitoring method | |
US12045047B2 (en) | Fault diagnostics systems and methods | |
CN109323853B (en) | Fan blade fan vibration detection device and fault detection prediction method | |
CN112611584A (en) | Fatigue failure detection method, device, equipment and medium for wind generating set | |
CN111797569A (en) | Bridge state evaluation method, device, equipment and storage medium | |
WO2019202917A1 (en) | Observation device, observation method, and program | |
JP2018034585A (en) | Analysis of propulsion performance of ship | |
CN113739909A (en) | Ship rotating machinery fault diagnosis method based on full-scale time domain averaging | |
CN117113200A (en) | Rotor fault diagnosis method, device, electronic equipment and medium | |
JP2021047100A (en) | Diagnostic device and diagnostic method | |
CN116226719A (en) | Bearing fault diagnosis method based on multidimensional steady-state vibration characteristics and related components | |
KR102212022B1 (en) | Method of automatically determining condition of hydro turbine in hydroelectric power plant and system for the same | |
CN113027699B (en) | Monitoring method, device and system of wind generating set | |
CN110874088B (en) | Monitoring method of ship key equipment system based on multi-dimensional vector model | |
CN117824922B (en) | Dynamic balance performance test method and system for ultra-precise speed reducer | |
CN117473669A (en) | Ship engine room equipment layout sensitivity determination method and device and electronic equipment | |
CN118133434B (en) | Digital ocean engineering module transportation simulation method and system | |
CN115077901B (en) | Bearing dynamic load indirect measurement method considering basic excitation | |
Allen et al. | Experimental Validation of a Spectral-Based Structural Analysis Model Implemented in the Design of the VolturnUS 6MW Floating Offshore Wind Turbine |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |